Solar storms now have a much more accurate early warning system. NASA's PUNCH mission, launched in March 2025, has shown it can predict when solar storms will hit Earth to within half an hour. That is a major improvement over current methods, which carry an error margin of five hours.
According to a report by Engadget, the PUNCH mission consists of four microsatellites that monitor the sun around the clock. The satellites began capturing images of coronal mass ejections, which are explosive expulsions of material from the sun into space, as soon as they reached orbit.
The breakthrough came when the PUNCH team used imagery from a specific coronal mass ejection on May 31, 2025. Scientists fed that data into a computer model, which analyzed the edges of the ejection over time. The model used the ejection's speed and shape to calculate when it would reach Earth.
After analyzing just the first 12 hours of the ejection's movement, the model predicted the resulting solar storm would arrive eight hours later. It was accurate to within half an hour.
Before PUNCH, instruments could only track one-fifth of a coronal mass ejection's journey from the sun to Earth. PUNCH allows scientists to follow the entire path, capturing images once every four minutes.
"We thought PUNCH would be good at this, but it's a stunning result," said Craig DeForest, the principal investigator for PUNCH at Southwest Research Institute in Boulder, Colorado. "To put it in perspective, this could be the space weather equivalent of going from a steam engine to a modern internal combustion engine."
The stakes for better forecasting are real. Solar storms can trigger geomagnetic disturbances in Earth's magnetic field, leading to radio blackouts, power outages, and disruptions to satellites and internet connections. More accurate predictions could give governments, power companies, and satellite operators more time to prepare.
The PUNCH team presented their results as an initial proof of concept in a paper currently under review for the Space Weather journal. Scientists believe that with more refined data and improved models, forecasts could be pushed even further in advance.
